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Anupama R - Matplotlib developerLD Talent logo

Anupama R

The star rating is a representation of the overall rating, calculated as the mean of the client satisfaction rating, the average client interview rating, and internal interview scores.

The client satisfaction rating is the weighted average of client ratings, with weights based on reviewed work hours. When no client rating exists, the approval fraction (approved vs. reviewed work hours) determines it.

If the client satisfaction rating exceeds the overall rating, it becomes the star rating. In the absence of client ratings, if the average client interview rating is higher than the overall rating, it becomes the star rating. If no data is available, the star rating defaults to the internal interview score.
Python Developer Preferred Title
$20.00 /hr $ 12.0K /yr Hourly Rate and Yearly Salary
Overview Experiences LD Experiences Qualifications Vetting
Overview
Basic Summary
LD Talent History
  • Worksession Approval 100.0%
  • Average Response Time 8.4 hours
  • Average Count of Messages/Day 3.3
  • Project Completion Rate 2/4
  • Interview Acceptance Rate 4/6
  • Timezone Overlap 7h PST, 21h UTC
  • Earned Hours 4.50
Vetting Summary
  • No. of Onboarding MCQs Completed 72
  • More details
Interview Scores (2.8/5)
  • Software Engineering Process 2.0/5
  • Design Practice 3.0/5
  • Design Theory 3.0/5
  • Technical Breadth 2.0/5
  • Logical Thinking 3.0/5
  • Technical Strength 2.0/5
  • System Design 3.0/5
  • Productivity and Responsiveness 3.0/5
  • Teamwork 3.0/5
  • Agile Development Process 3.0/5
  • Intellectual Merit 3.0/5
  • English Communication 4.0/5
  • Documentation 3.0/5
Talent's Devices
  • Desktop Windows
  • Phone iPhone
General
  • Member Since Jun 12, 2023
  • Profile Last Updated Mar 22, 2025
  • Last Activity March 22, 2025, 6:15 p.m. UTC
  • Location Nepal
  • Current Status Student
Profile Summary
Tech enthusiast, using technology and machines to improve people's lives and address pressing issues in the real world. A natural learner who strives to develop professionally. Tenacious and eager to complete the task at hand.
Skills
Total Experience: 3 years
  • Matplotlib (3Y)

    3 years of experience
  • Pandas (3Y)

    3 years of experience
  • Numpy (3Y)

    3 years of experience
  • scikit-learn (3Y)

    3 years of experience
  • Data Science (3Y)

    3 years of experience
  • Machine learning (3Y, 1C)

    3 years of experience, with 1 course
  • Python (2E, 2Y)

    2 experiences, across 2 years
  • Selenium (2Y)

    2 years of experience
  • Postgres (2E, 2Y)

    2 experiences, across 2 years
  • Heroku

  • Django REST Framework

  • Django (1C)

    1 course
  • Flask

  • Tensorflow

  • Postman

  • REST (2Y, 1C)

    2 years of experience, with 1 course
  • Deep learning

  • Reinforcement learning (1C)

    1 course
  • JavaScript (1C)

    1 course
  • React Server Components (1C)

    1 course
  • React Hooks (1C)

    1 course
  • React (1C)

    1 course
Weekly Availability
Timezone Overlap with 06 - 21 per Week: 7h PST, 21h UTC
Day
Sunday
Monday
Tuesday
Wednesday
Thursday
Friday
Saturday
UTC
11 - 14
11 - 14
11 - 14
11 - 14
11 - 14
11 - 14
11 - 14
PST
04 - 07
04 - 07
04 - 07
04 - 07
04 - 07
04 - 07
04 - 07
Vetting
  • Interview Data
  • Software Engineering Process
  • Design Practice
  • Design Theory
  • Technical Breadth
  • Logical Thinking
  • Technical Strength
  • System Design
  • Productivity and Responsiveness
  • Teamwork
  • Agile Development Process
  • Intellectual Merit
  • English Communication
  • Documentation
Experience
Developer
Passion Project
Feb 2023 - Present
DeepLearning.AI Company
Education Industry
Project: Machine Learning Projects
  • Data Science
  • Numpy
  • scikit-learn
  • Machine learning
  • Matplotlib
  • Pandas
  • I used Supervised and Unsupervised Learning to predict and classify the dataset.
  • I used Data science in data cleaning, data mining, feature extraction, and label encoding in the projects under the Machine learning specialization.
  • I used Numpy, Pandas, scikit-learn, and Matplotlib to analyze the data numerically and graphically.
Github Links
  • https://github.com/Anupamaraie/Machine-Learning
Backend Developer
Passion Project
May 2023 - May 2023
Deerhack Company
Government Industry
Project: CleanCam
  • Postgres
  • Flask
  • Python
  • I used Postgres pgAdmin to store the images in the database with the current date and time the photo is stored as the filename.
  • I used Flask to make an API endpoint through which the images stored in the Postgres database can be accessed.
  • I used Python to get the real date and time using the os module.
  • This feature helped store the photo of the guilty of littering in the database which could be retrieved in the client-server/ application through the API endpoint.
Website Links
  • https://devfolio.co/projects/cleancam-a709
Developer
Passion Project
Feb 2023 - Feb 2023
Nepal's Largest All Female Hackathon Company
Food and Agriculture Industry
Project: Plant Disease Classification
  • Postman
  • REST
  • Deep learning
  • Tensorflow
  • I made a Deep learning model using a convolutional neural network to train different types of datasets.
  • I did data augmentation, i.e. reshaping, resizing, flipping, and rotating files using Tensorflow while training the model for better flexibility of input and prediction.
  • I used FastAPI to make a REST API endpoint to take the input of files and use the model to display the prediction.
  • I used Postman to check my FastAPI endpoint and make sure the prediction was correct with a confidence of more than 98%.
  • This project helped the farmers having less knowledge of plant diseases to just click and send a picture of the diseased leaf and predict the disease of the plant.
Github Links
  • https://github.com/Anupamaraie/Plant-Disease-Classification
Backend Developer
Passion Project
Nov 2022 - Dec 2022
Amrit Science Campus Company
Government Industry
Project: Election2079 API
  • Heroku
  • Postgres
  • Django
  • Django REST Framework
  • I used the Django REST framework and its depth feature to make a REST API endpoint for the candidates and the votes they got during the election.
  • I used the Postgres database to store all the data that was scraped through the Nepali e-portal.
  • I used Heroku to deploy my project in the cloud and used the Heroku jobs scheduler to run my API every 10 minutes which updated the votes in real-time every 10 minutes.
  • This feature helped to store the details of elected candidates and their real-time votes in the database which can be accessed through an API endpoint.
Github Links
  • https://github.com/Anupamaraie/Api-Election
LD Experience
Client Projects
Developer
Contract
Oct 2023 - Mar 2024
LD Talent Client's Company/Project
  • Selenium
  • Python
  • Used Selenium to automate a script for internal-ldtech.
  • Used Python for skillfully using the elements
Video Projects
How to implement django-tenant-schemas with a fixed URL
Sep 2020 - Jan 2022
Frontend Developer
Technology
  • Matplotlib
  • Pandas
  • Numpy
  • scikit-learn
  • Data Science
  • Machine learning
  • Python
  • Led user research for a new construction site documentation tool.
  • Hosted workshops to synthesize user insights into design requirements.
  • Designed 3D concepts and built prototypes to investigate new tool form factors.
  • Researched existing digital solutions and prioritized key features for app release.
Website Links
  • https://blog.learningdollars.com/2020/08/02/how-to-implement-django-tenant-schemas-with-a-fixed-url/
  • https://agile-headland-01373.herokuapp.com/
Github Links
  • https://github.com/MainaKamau92/rickandmortycharacters
  • https://github.com/learningdollars/mainak-django-tenant-schemas
LD Ventures
Thea
Sep 2020 - Jan 2022
Frontend Developer
Technology
  • Matplotlib
  • Pandas
  • Numpy
  • scikit-learn
  • Data Science
  • Machine learning
  • Python
  • I used the Django Rest Framework to create a multi tenant API with the aid of the django-tenant-schemas package.
  • I used the Postgres Database as the persistence layer and specifically the PostgreSQL Schemas to ensure that all tenants using the API had their data.
  • I used the REST architecture in designing my API.
  • Researched existing digital solutions and prioritized key features for app release.
Website Links
  • https://blog.learningdollars.com/2020/08/02/how-to-implement-django-tenant-schemas-with-a-fixed-url/
  • https://agile-headland-01373.herokuapp.com/
Github Links
  • https://github.com/MainaKamau92/rickandmortycharacters
  • https://github.com/learningdollars/mainak-django-tenant-schemas
Qualifications
Education
Trinity International College
Aug 2018 - Aug 2020
High School (Computer Science)
Courses
Machine Learning Specialization
Course Certificate Link
Oct 2022 - Mar 2023
DeepLearning.AI
  • Reinforcement learning
  • Machine learning
APIs
Course Certificate Link
Mar 2023 - Apr 2023
Meta
  • REST
  • Django
React Basics
Course Certificate Link
Sep 2023 - Jan 2024
Meta
  • JavaScript
  • React Server Components
  • React Hooks
  • React
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